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One box. Any real-estate question. The system classifies your intent across 13 categories, routes to the right data (parcels, listings, towns, agents, pipeline, methodology), and composes a direct answer with the underlying citations.
FHA-required leads refer to agents who are accepting leads that meet FHA guidelines, which is confirmed through self-declaration and outcome validation. Based on the data, agents who are FHA-safe will have new leads routed to them, while those marked as false will not. If you need more specific information about a particular agent or listing, please let me know!
Why: The question asks about how FHA-required leads are defined or calculated, indicating a methodology inquiry.
Methodology — catalog matches
Topic: "FHA-required leads"
agent.accepting_leads · agent
Agent
weight 15%
Source: Agent self-declared + outcome-validated (2026)FHA-safe
False = no new leads will be routed to this agent
renter.pet_required · user
Renter
weight 8%
Source: User input — renter flow (2026)FHA-safe
Renter has pets; filters listings without pet-policy match
renter.amenity_needs · user
Renter
weight 5%
Source: User input — renter flow (2026)FHA-safe
JSONB array (in-unit-laundry, parking, doorman, gym, dishwasher, etc.)
agent.current_active_leads · agent
Agent
weight 0%
Source: ValiFit lead tracking (2026)FHA-safe
Count of in-flight lead_assignments — used to enforce capacity
agent.max_active_leads · agent
Agent
weight 0%
Source: Agent self-declared + outcome-validated (2026)FHA-safe
geo.county_fha_limit · county
Geo
weight 0%
Source: HUD FHA Loan Limits (2026)FHA-safe
County FHA cap; drives /api/affordability.
Data sources
Raw structured response
{
"topic": "FHA-required leads",
"matches": [
{
"metric_id": "agent.accepting_leads",
"level": "agent",
"composite": "Agent",
"factor_name": "Accepting Leads",
"federal_source": "Agent self-declared + outcome-validated",
"weight_pct": 15,
"source_year": "2026",
"fha_safe": true,
"is_roi": false,
"notes": "False = no new leads will be routed to this agent",
"direction": "higher_better",
"unit": "boolean"
},
{
"metric_id": "renter.pet_required",
"level": "user",
"composite": "Renter",
"factor_name": "Pet-Friendly Required",
"federal_source": "User input — renter flow",
"weight_pct": 8,
"source_year": "2026",
"fha_safe": true,
"is_roi": false,
"notes": "Renter has pets; filters listings without pet-policy match",
"direction": "optimize",
"unit": "boolean"
},
{
"metric_id": "renter.amenity_needs",
"level": "user",
"composite": "Renter",
"factor_name": "Required Amenities",
"federal_source": "User input — renter flow",
"weight_pct": 5,
"source_year": "2026",
"fha_safe": true,
"is_roi": false,
"notes": "JSONB array (in-unit-laundry, parking, doorman, gym, dishwasher, etc.)",
"direction": "optimize",
"unit": "text_array"
},
{
"metric_id": "agent.current_active_leads",
"level": "agent",
"composite": "Agent",
"factor_name": "Current Active Leads",
"federal_source": "ValiFit lead tracking",
"weight_pct": 0,
"source_year": "2026",
"fha_safe": true,
"is_roi": false,
"notes": "Count of in-flight lead_assignments — used to enforce capacity",
"direction": "optimize",
"unit": "count"
},
{
"metric_id": "agent.max_active_leads",
"level": "agent",
"composite": "Agent",
"factor_name": "Max Active Leads",
"federal_source": "Agent self-declared + outcome-validated",
"weight_pct": 0,
"source_year": "2026",
"fha_safe": true,
"is_roi": false,
"notes": null,
"direction": "optimize",
"unit": "count"
},
{
"metric_id": "geo.county_fha_limit",
"level": "county",
"composite": "Geo",
"factor_name": "County FHA Loan Limit",
"federal_source": "HUD FHA Loan Limits",
"weight_pct": 0,
"source_year": "2026",
"fha_safe": true,
"is_roi": false,
"notes": "County FHA cap; drives /api/affordability.",
"direction": "optimize",
"unit": "dollars"
}
],
"anchor_url": "/trust/methodology"
}